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https://issues.apache.org/jira/browse/SPARK-32369?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-32369.
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Resolution: Workaround
> pyspark foreach/foreachPartition send http request failed
> ---------------------------------------------------------
>
> Key: SPARK-32369
> URL: https://issues.apache.org/jira/browse/SPARK-32369
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.0.0
> Reporter: Tao Liu
> Priority: Major
>
> I use urllib.request to send http request in foreach/foreachPartition.
> pyspark throw error as follow:I use urllib.request to send http request in
> foreach/foreachPartition. pyspark throw error as follow:
> {code}
> _objc[74094]: +[__NSPlaceholderDate initialize] may have been in progress in
> another thread when fork() was called. We cannot safely call it or ignore it
> in the fork() child process. Crashing instead. Set a breakpoint on
> objc_initializeAfterForkError to debug.20/07/20 19:05:58 ERROR Executor:
> Exception in task 7.0 in stage 0.0 (TID 7)org.apache.spark.SparkException:
> Python worker exited unexpectedly (crashed) at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:536)
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator$$anonfun$1.applyOrElse(PythonRunner.scala:525)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:38)
> at
> org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:643)
> at
> org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:621)
> at
> org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:456)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator.foreach(Iterator.scala:941) at
> scala.collection.Iterator.foreach$(Iterator.scala:941) at
> org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> at
> scala.collection.generic.Growable.$plus$plus$eq(Growable.scala:62) at
> scala.collection.generic.Growable.$plus$plus$eq$(Growable.scala:53)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:105)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:49)
> at scala.collection.TraversableOnce.to(TraversableOnce.scala:315)
> at scala.collection.TraversableOnce.to$(TraversableOnce.scala:313) at
> org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
> at scala.collection.TraversableOnce.toBuffer(TraversableOnce.scala:307)
> at
> scala.collection.TraversableOnce.toBuffer$(TraversableOnce.scala:307)
> at
> org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
> at
> scala.collection.TraversableOnce.toArray(TraversableOnce.scala:294)
> at scala.collection.TraversableOnce.toArray$(TraversableOnce.scala:288)
> at
> org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
> at org.apache.spark.rdd.RDD.$anonfun$collect$2(RDD.scala:1004)
> at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)_
> {code}
> when i call rdd.foreach(send_http),
> rdd=sc.parallelize(["http://192.168.1.1:5000/index.html";]), send_http defined
> as follow:
> _def send_http(url):_
> _req = urllib.request.Request(url)_
> _resp = urllib.request.urlopen(req)_
> anyone can tell me the problem? thanks.
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